code: def preprocess_sample_info(self, sample_info):
      # COCO Annotation DBs have corrext feature_path
      if "COCO" not in sample_info["feature_path"]:
          sample_info["feature_path"] = sample_info[
              "image_path"
          ].replace(".jpg", ".npy")
      return sample_info
  
file_path: mmf/mmf/datasets/builders/coco/dataset.py
imports: import torch
  from mmf.common.sample import Sample
  from mmf.datasets.builders.vqa2 import VQA2Dataset
  from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
label_desc: Use image node_id 2 for calling the COCODataset obj's underlying member method code with example usage: obj.preprocess_sample_info(sample_info) and returns: sample_info